• DocumentCode
    2575758
  • Title

    A new intra prediction method using channel correlations for the H.264/AVC intra coding

  • Author

    Lee, Sang Heon ; Moon, Jae Won ; Byun, Jae Woan ; Cho, Nam Ik

  • Author_Institution
    Sch. of Electr. Eng., Seoul Nat. Univ., Seoul, South Korea
  • fYear
    2009
  • fDate
    6-8 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper introduces a new intra prediction algorithm that exploits the correlations between the color channels, for the H.264/AVC intra coding. The main idea is to use the weighted sum of neighboring pixels as a new chroma prediction tool, where the weighting coefficients are determined considering the inter-channel correlations. Specifically the weighting coefficients are determined under the assumption that the similarity of a chrominance channel intensity increases as the distance of the luminance channel intensity decreases. The proposed method is added to the conventional chroma prediction modes with a little modification in the chroma prediction mode binarization. The experiments show that the proposed method provides up to 1.0 dB gain for the color-abundant images.
  • Keywords
    channel coding; correlation methods; image colour analysis; prediction theory; video coding; 264/AVC intra coding; chroma prediction tool; chrominance channel intensity; color channel correlation; intra prediction algorithm; luminance channel intensity; weighted neighboring pixel; Automatic voltage control; Decorrelation; Discrete cosine transforms; Discrete wavelet transforms; Image coding; Moon; Prediction algorithms; Prediction methods; Streaming media; Telecommunications; Channel Correlation; Chroma Prediction; Image coding; Intra coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Picture Coding Symposium, 2009. PCS 2009
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4244-4593-6
  • Electronic_ISBN
    978-1-4244-4594-3
  • Type

    conf

  • DOI
    10.1109/PCS.2009.5167349
  • Filename
    5167349